Mobile HealthyTrack : Recommendation of Healthy Routes

Detalhes bibliográficos
Autor(a) principal: Machado, Daniel Cardoso de Barros
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/58963
Resumo: Tese de mestrado, Engenharia Informática , 2022, Universidade de Lisboa, Faculdade de Ciências
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spelling Mobile HealthyTrack : Recommendation of Healthy Routessistemas de recomendação de rotassistemas móveisrotas pedestresmobilidade ativamapas digitaisTeses de mestrado - 2022Departamento de InformáticaTese de mestrado, Engenharia Informática , 2022, Universidade de Lisboa, Faculdade de CiênciasCurrently, there are several route recommendation systems, such as Google Maps or Waze, that suggest to their users routes between two given locations while considering different means of travel (on foot, by car, or by public transport). These systems generally recommend the shortest, the fastest, and/or the cheapest route (where factors such as fuel consumption, toll payment, and/or ticket purchasing are considered), indicating a greater focus on public and private modes of transportation rather than on pedestrians or cyclists. That is, these services are strictly limited to economic criteria and do not allow for the integration of other factors that are relevant to each user. In urban environments, it is typical that a person’s choice of walking a certain path is not based on the shortest or the fastest route, but on other subjective criteria valued by pedestrians, such as safety or overall exposure to air pollutants, for instance. The main objective of this work is to design and develop a mobile system (named Mobile HealthyTrack) that recommends pedestrian routes for the city of Lisbon by considering, simultaneously, multiple criteria tailored to the preferences of each registered user, with the additional integration of a voting functionality in order to improve the overall quality of the recommendations. Mobile HealthyTrack is a mobile system (exclusive to the Android operating system) in which users input the points of origin and destination of the routes they want to travel, based on the preferences they have established for each of the three quality criteria considered for the system: distance, air quality, and proximity to green areas. This system combines various modules that work together to provide the most customizable and tailored experience possible for the user. The experiments carried out in a controlled offline environment, as well as the user studies conducted with volunteers, allowed not only to observe that the routes recommended by the system correspond to the best possible routes considering the established parameters, but also to attest to the application’s usability and to obtain essential feedback to further optimize the system.Afonso, Ana Paula Pereira, 1965-Respício, Ana Luísa do Carmo Correia, 1965-Repositório da Universidade de LisboaMachado, Daniel Cardoso de Barros2023-08-23T09:31:53Z202220222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/58963enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T17:07:56Zoai:repositorio.ul.pt:10451/58963Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:09:01.689204Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Mobile HealthyTrack : Recommendation of Healthy Routes
title Mobile HealthyTrack : Recommendation of Healthy Routes
spellingShingle Mobile HealthyTrack : Recommendation of Healthy Routes
Machado, Daniel Cardoso de Barros
sistemas de recomendação de rotas
sistemas móveis
rotas pedestres
mobilidade ativa
mapas digitais
Teses de mestrado - 2022
Departamento de Informática
title_short Mobile HealthyTrack : Recommendation of Healthy Routes
title_full Mobile HealthyTrack : Recommendation of Healthy Routes
title_fullStr Mobile HealthyTrack : Recommendation of Healthy Routes
title_full_unstemmed Mobile HealthyTrack : Recommendation of Healthy Routes
title_sort Mobile HealthyTrack : Recommendation of Healthy Routes
author Machado, Daniel Cardoso de Barros
author_facet Machado, Daniel Cardoso de Barros
author_role author
dc.contributor.none.fl_str_mv Afonso, Ana Paula Pereira, 1965-
Respício, Ana Luísa do Carmo Correia, 1965-
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Machado, Daniel Cardoso de Barros
dc.subject.por.fl_str_mv sistemas de recomendação de rotas
sistemas móveis
rotas pedestres
mobilidade ativa
mapas digitais
Teses de mestrado - 2022
Departamento de Informática
topic sistemas de recomendação de rotas
sistemas móveis
rotas pedestres
mobilidade ativa
mapas digitais
Teses de mestrado - 2022
Departamento de Informática
description Tese de mestrado, Engenharia Informática , 2022, Universidade de Lisboa, Faculdade de Ciências
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022-01-01T00:00:00Z
2023-08-23T09:31:53Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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url http://hdl.handle.net/10451/58963
dc.language.iso.fl_str_mv eng
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